Revolutionizing Presence Management with Facial Recognition

The manual attendance monitoring system is laborintensive and difficult to maintain. This article proposes a Facial recognition-based intelligent attendance system that aims to modernize and streamline it. Advanced biometric technology, namely Face Recognition algorithms based on Deep Learning (DL), is utilized in the proposed system. The main training dataset for the Local Binary Patterns Histogram (LBPH) Face Recognizer is composed of human faces. A user-friendly web page is implemented by developing the user interface using the Flask framework. The ability to record attendance data, including timestamps, in a database is a notable improvement to this system Another new feature is the ability to utilize the Fast to SMS website to send parents information on their child’s attendance, behavior, and grades. This enhancement fosters a more educated and engaged student body culture while also increasing productivity and strengthening the channels of communication between parents and schools.